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Machine Independence of Ultrasound-Based Quantification of Vitreous Echodensities

PURPOSE: Quantitative ultrasound (QUS) provides objective indices of Vision Degrading Myodesopsia (VDM) that correlate with contrast sensitivity (CS). To date, QUS methods were only tested on a single ultrasound machine. Here, we evaluate whether QUS measurements are machine independent. METHODS: In...

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Autores principales: Hoerig, Cameron, Nguyen, Justin H., Mamou, Jonathan, Venuat, Cedric, Sebag, J., Ketterling, Jeffrey A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10540872/
https://www.ncbi.nlm.nih.gov/pubmed/37750745
http://dx.doi.org/10.1167/tvst.12.9.21
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author Hoerig, Cameron
Nguyen, Justin H.
Mamou, Jonathan
Venuat, Cedric
Sebag, J.
Ketterling, Jeffrey A.
author_facet Hoerig, Cameron
Nguyen, Justin H.
Mamou, Jonathan
Venuat, Cedric
Sebag, J.
Ketterling, Jeffrey A.
author_sort Hoerig, Cameron
collection PubMed
description PURPOSE: Quantitative ultrasound (QUS) provides objective indices of Vision Degrading Myodesopsia (VDM) that correlate with contrast sensitivity (CS). To date, QUS methods were only tested on a single ultrasound machine. Here, we evaluate whether QUS measurements are machine independent. METHODS: In this cross-sectional study, 47 eyes (24 subjects; age = 53.2 ± 14.4 years) were evaluated with Freiburg acuity contrast testing (%Weber), and ultrasonography using 2 machines: one with a 15-MHz single-element transducer and one with a 5-ring, 20-MHz annular-array. Images were acquired from each system in sequential scans. Artifact-free, log-compressed envelope data were processed to yield three parameters (mean amplitude, M; energy, E; and percentage filled by echodensities, P50) and a composite score (C). A B-mode normalization method was applied to the 20-MHz datasets to match QUS parameters at both frequencies. Statistical analyses were performed to evaluate correlations among CS, E, M, P50, and C for both machines. RESULTS: QUS parameters from each machine correlated with CS (R ≥ 0.57, P < 0.001) and there was correlation between machines (R ≥ 0.84, P < 0.001). Correlations between CS and QUS parameters were statistically similar for both machines (P ≥ 0.14) except when the 20-MHz data were normalized (P = 0.04). Reproducibility of QUS parameters computed from 20-MHz data were satisfactory (52.3%–96.3%) with intraclass correlation values exceeding 0.80 (P < 0.001). CONCLUSIONS: The high correlation between QUS parameters from both machines combined with a statistically similar correlation to CS suggests QUS is an effective, machine-independent, quantitative measure of vitreous echodensities. TRANSLATIONAL RELEVANCE: QUS may be applied across clinical ophthalmic ultrasound scanners and imaging frequencies to effectively evaluate VDM.
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spelling pubmed-105408722023-09-30 Machine Independence of Ultrasound-Based Quantification of Vitreous Echodensities Hoerig, Cameron Nguyen, Justin H. Mamou, Jonathan Venuat, Cedric Sebag, J. Ketterling, Jeffrey A. Transl Vis Sci Technol Retina PURPOSE: Quantitative ultrasound (QUS) provides objective indices of Vision Degrading Myodesopsia (VDM) that correlate with contrast sensitivity (CS). To date, QUS methods were only tested on a single ultrasound machine. Here, we evaluate whether QUS measurements are machine independent. METHODS: In this cross-sectional study, 47 eyes (24 subjects; age = 53.2 ± 14.4 years) were evaluated with Freiburg acuity contrast testing (%Weber), and ultrasonography using 2 machines: one with a 15-MHz single-element transducer and one with a 5-ring, 20-MHz annular-array. Images were acquired from each system in sequential scans. Artifact-free, log-compressed envelope data were processed to yield three parameters (mean amplitude, M; energy, E; and percentage filled by echodensities, P50) and a composite score (C). A B-mode normalization method was applied to the 20-MHz datasets to match QUS parameters at both frequencies. Statistical analyses were performed to evaluate correlations among CS, E, M, P50, and C for both machines. RESULTS: QUS parameters from each machine correlated with CS (R ≥ 0.57, P < 0.001) and there was correlation between machines (R ≥ 0.84, P < 0.001). Correlations between CS and QUS parameters were statistically similar for both machines (P ≥ 0.14) except when the 20-MHz data were normalized (P = 0.04). Reproducibility of QUS parameters computed from 20-MHz data were satisfactory (52.3%–96.3%) with intraclass correlation values exceeding 0.80 (P < 0.001). CONCLUSIONS: The high correlation between QUS parameters from both machines combined with a statistically similar correlation to CS suggests QUS is an effective, machine-independent, quantitative measure of vitreous echodensities. TRANSLATIONAL RELEVANCE: QUS may be applied across clinical ophthalmic ultrasound scanners and imaging frequencies to effectively evaluate VDM. The Association for Research in Vision and Ophthalmology 2023-09-26 /pmc/articles/PMC10540872/ /pubmed/37750745 http://dx.doi.org/10.1167/tvst.12.9.21 Text en Copyright 2023 The Authors https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License.
spellingShingle Retina
Hoerig, Cameron
Nguyen, Justin H.
Mamou, Jonathan
Venuat, Cedric
Sebag, J.
Ketterling, Jeffrey A.
Machine Independence of Ultrasound-Based Quantification of Vitreous Echodensities
title Machine Independence of Ultrasound-Based Quantification of Vitreous Echodensities
title_full Machine Independence of Ultrasound-Based Quantification of Vitreous Echodensities
title_fullStr Machine Independence of Ultrasound-Based Quantification of Vitreous Echodensities
title_full_unstemmed Machine Independence of Ultrasound-Based Quantification of Vitreous Echodensities
title_short Machine Independence of Ultrasound-Based Quantification of Vitreous Echodensities
title_sort machine independence of ultrasound-based quantification of vitreous echodensities
topic Retina
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10540872/
https://www.ncbi.nlm.nih.gov/pubmed/37750745
http://dx.doi.org/10.1167/tvst.12.9.21
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